On Wed, Jul 25, 2012 at 3:51 AM, Thouis (Ray) Jones wrote:
> On Wed, Jul 25, 2012 at 6:53 AM, Fernando Perez wrote:
>> Hi Thouis,
>>
>> On Tue, Jul 24, 2012 at 2:46 PM, Thouis (Ray) Jones wrote:
>>> I would estimate I'm between a fourth and halfway through the
>>> implementation of the trac-to-g
On Tue, Jul 24, 2012 at 11:46 PM, Thouis (Ray) Jones wrote:
> Hello,
>
> I would estimate I'm between a fourth and halfway through the
> implementation of the trac-to-github-issues migration code. The work
> lives in at https://github.com/thouis/numpy-trac-migration , though
> without a copy of t
I'm actively looking at this issue since it was my pull request that broke
this (https://github.com/numpy/numpy/pull/350). We definitely don't want to
break this functionality for 1.7. The problem is that even though indexing
with a subset of fields still returns a copy (for now), it now returns a
On Sun, Jul 22, 2012 at 2:15 PM, Ralf Gommers
wrote:
> Hi,
>
> Just a heads up that right now views of recarrays seem to be problematic,
> this doesn't work anymore:
>
import statsmodels.api as sm
dta = sm.datasets.macrodata.load() # returns a record array with 14
fields
dta.d
> Hi,
>
> would like to identify unique pairs of numbers in two arrays o in one
> bi-dimensional array, and count the observation
>
> a_clean=array([4,4,5,4,4,4])
> b_clean=array([3,5,4,4,3,4])
>
> and obtain
> (4,3,2)
> (4,5,1)
> (5,4,1)
> (4,4,2)
>
> I solved with tow loops but off course there w
Hi,
would like to identify unique pairs of numbers in two arrays o in one
bi-dimensional array, and count the observation
a_clean=array([4,4,5,4,4,4])
b_clean=array([3,5,4,4,3,4])
and obtain
(4,3,2)
(4,5,1)
(5,4,1)
(4,4,2)
I solved with tow loops but off course there will be a faster solution.
On Wed, Jul 25, 2012 at 6:53 AM, Fernando Perez wrote:
> Hi Thouis,
>
> On Tue, Jul 24, 2012 at 2:46 PM, Thouis (Ray) Jones wrote:
>> I would estimate I'm between a fourth and halfway through the
>> implementation of the trac-to-github-issues migration code. The work
>> lives in at https://githu
